The Role of Data Analytics in Today's Latest Technologies

Major research and advisory firms in Information Technology like Gartner and Forrester identify technologies such as Blockchain technology, Artificial Intelligence / Machine Learning, Internet Of Things, Augmented Reality / Virtual Reality, and Cloud computing as game changers for the foreseeable future.

From my experience as the Managing Partner of a consulting and advisory firm, I know that data and data analytics play a significant role in ensuring that these technologies directly contribute to the bottom line of companies. A technology for technology’s sake has no relevance unless it provides a sustainable advantage to corporations by increasing revenues, reducing costs, or improving productivity. This webinar will review the key characteristics of the latest trending technologies mentioned above and how data and data analytics plays a critical role.

Today almost every organization in the world is exploring opportunities to leverage data for business performance. Machine learning (ML) is an emerging field within Artificial Intelligence (AI) that provides systems the ability to learn using data without being explicitly programmed. However, given that ML is an emerging field, there still is lot of confusion and misunderstanding on ML in many industry sectors. In this webinar, Prashanth Southekal will talk about the key characteristics of ML using the business forecasting as an example. The learning objective of this webinar is to help managers and C-suite with information on the ML dependencies, complexities, and resource needs for the successful deployment of ML solutions in their organization.

Our current health system in the United States operates in a silo model that is plagued by broken feedback loops that lead to misaligned incentives between payers, providers, managed care organizations, and social service agencies. A dearth of communication and interoperability between systems contributes to uncontrolled costs and missed opportunities to improve operational efficiency. Furthermore, the most vulnerably patients - individuals who experience adverse social determinants of health in addition to medical and/or behavioral challenges – are often excluded or made worse by the system’s inability to coordinate care across social and medical domains. With a universe of data at our fingertips, we can and must find creative solutions to these problems.

By bringing together social and medical data, we can see a more global view of the healthcare system – more specifically, where it’s working and failing. By linking social and medical utilization data from the whole ecosystem of care, we quickly see overlaps in care, avoidable redundancies in services used, and unmet needs on a population level. We integrate these insights into a comprehensive health management system that supports shared care plans between social and medical agencies, providing a holistic view of patient needs through real-time dashboards.

While we have a long way to go to fix our healthcare system, we have the data to help move us towards a more equitable solution, where healthcare can be affordable and accessible to all in our communities.

Real-time streaming applications are driving revenue growth in verticals such as retail, IoT, telecommunications, financial services and SaaS. However, architecting the data infrastructure that powers such applications for rapid business value remains a complex challenge.

In this talk, we will review the key components of a streaming data pipeline and highlight the desired characteristics from each component in the context of reliability, scalability and performance.

A real-world IoT Fleet Management application built on Confluent Kafka as the data ingestion layer, KSQL or Apache Spark as the stream processing layer, YugaByte DB as the operational data store and Spring Boot as the Analytics Dashboard framework will be used to demonstrate how the desired business goals can be achieved with ease.

This topic will discuss in the current trend in the FinTech and Financial Services Sector and what are the security challenges and Risk factors and how to prepare yourself to mitigate them.

You will learn
* What are all the major Financial Sectors and Factors leading to their
innovation
* Technology and Services overview in Various Financial Sectors
* Security and Risks
* Data Security
* Cyber Security
* Regulatory and compliance risk
* Fraud and identity theft
* Third party reliance

In recent years, diversity has come a long way nationally and internationally. Current data suggests that we still face challenges to engage diversity with inclusion. Per recent reports, the architecture/construction sector still lags and in need to empower women, practice equity and promote diversity.

This presentation will review national efforts for D&I - where we were and where we are now.
We will try to understand the concept/forms of exclusion and how our efforts both at a personal level and professional level can eliminate it. Eventually, it is not about being a woman or a minority, it is about becoming aware of exclusive behavior and cultivating inclusive thoughts and actions.

Takeaways:
1. Attendees will be able to understand the importance of inclusion & its relation to diversity. It is
very easy to exclude.
2. Participants will learn about women in the field of architecture and construction, challenges we
face and what the industry is doing to empower us.
3. We will discuss how to enhance relationships by valuing and respecting ethnic, cultural
differences and accommodating different stages of lives we all are in.

Deep dive into the ways machine learning and AI are becoming mainstream and enhancing analytics solutions and insights.

The talk would aim to de-mystify AI and show that it has been mainstream for longer than we think at different levels of sophistication. Defining AI is the first step in understanding it. Understanding the tools and uses helps make it less intimidating. And knowing it is democratized allows anyone to work in AI. We would walk through real world examples of AI used for leisure, everyday work tasks, and move on to more sophisticated industry uses. All examples keeping in mind best practices to control the AI, which can be a fickle thing when left unchecked.

Real-time streaming applications are driving revenue growth in verticals such as retail, IoT, telecommunications, financial services and SaaS. However, architecting the data infrastructure that powers such applications for rapid business value remains a complex challenge.

In this talk, we will review the key components of a streaming data pipeline and highlight the desired characteristics from each component in the context of reliability, scalability and performance.

A real-world IoT Fleet Management application built on Confluent Kafka as the data ingestion layer, KSQL or Apache Spark as the stream processing layer, YugaByte DB as the operational data store and Spring Boot as the Analytics Dashboard framework will be used to demonstrate how the desired business goals can be achieved with ease.

Today's consumers are demanding a customer service experience paradigm to keep up with their growing needs. From real-time instant responses to accessibility from a plethora of text and voice platforms, to understanding natural language.

Recent advances in natural language understanding and processing (NLU/NLP) and machine learning have enabled automated chatbots to provide a unique experience for businesses and consumers to connect and converse. In this webinar, we will discuss how businesses can leverage the latest in artificial intelligence and deep learning to create conversational chatbot platforms to wow their customers.

About the speaker:
Girish MuckAI is VP of Business Development & Strategy at Passage AI. He has 20+ years experience bringing state-of-the-art technology solutions to market and held leadership roles at Juniper Networks, Reliance Jio, Entropic Communications, Westell, Arris, SBC Labs and Cascade. Girish holds a B.Tech from IIT Madras, MS and PhD from Boston University and MBA from the Wharton School. Girish is also the CEO of IIT Madras Foundation.

The artificial intelligence revolution is being enabled by the rapid increase in data, computing power in the cloud, and hardware accelerators like GPUs and algorithm innovations. However, only < 5% of organizations have adopted or deployed AI in their operations and > 80% are gathering knowledge and prototyping.

In this webinar, we identify the challenges of transitioning from Prototype to Production. We break them down into four categories of challenges:

In this talk, we will address challenges 1 & 2 using RocketML to aid in building production-grade AI applications. These techniques will not only improve data scientists' productivity, but will also reduce total cost of ownership (TCO) compared to market incumbents.

The webinar is hosted by Fundoo.info and moderated by IITAGH Board Member.

A number of modern, geo-distributed apps are being built in verticals such as retail, finance and SaaS. In an increasingly multi-cloud and hybrid-cloud world, the applications are becoming portable, but the databases are not. Enterprises are seeking to re-platform the data layer for scalability, developer friendliness and cloud-neutrality.

The transactional database tier powering these apps has been a high-latency, hard-to-scale, master-slave RDBMS for a long time. Multi-master configurations or the use of a separate NoSQL DB (for multi-region data distribution) are common solutions. However, none of these solutions achieve the desired business outcomes of high customer satisfaction, increased data protection, and regulatory compliance.

This talk will dive into how it is necessary to unify the best of SQL and NoSQL into one database in order to deliver the above business outcomes, and how YugaByte is helping democratize the transactional database layer by offering a single non-proprietary database that can span public and private clouds. YugaByte’s value proposition is strong for both CIOs, who can avoid cloud vendor lock-in at the database layer, and for developers, who don’t have to re-architect existing applications because of YugaByte’s built-in native compatibility to popular NoSQL and SQL interfaces.

Teams have been adopting and practicing Agile for years. Scrum and Kanban are two popular approaches used by agile teams to plan and iterate their development cycles. While these approaches have transformed software development for individual teams, they lack the constructs needed to synchronize multiple teams, provide Companies with a mechanism to adapt to change, and deliver enterprise software and systems in the shortest sustainable lead time. The Scaled Agile Framework (SAFe) leverages Agile practices and Lean product development to coordinate planning and delivery for multiple agile teams. This approach to scaling agile has led to the following benefits:

· Increase in solution quality

· Increase in productivity

· Increased employee engagement

· Faster time to market

· Better predictability

· Improved transparency

Join Radus Software for a 45 minute webinar to discuss scaling agile. Our experts will provide an overview of agile maturity, discuss the tipping points for scaling agile, and highlight the various levels of SAFe to help Organizations determine the best fit for their transition from agile teams to agile programs and/or portfolios. and how Metronome our SAFe ALM the first and only platform built specifically for SAFe from the ground-up, can help you with this journey through scaling your agile environment..

Major research and advisory firms in Information Technology like Gartner and Forrester identify technologies such as Blockchain technology, Artificial Intelligence / Machine Learning, Internet Of Things, Augmented Reality / Virtual Reality, and Cloud computing as game changers for the foreseeable future.

From my experience as the Managing Partner of a consulting and advisory firm, I know that data and data analytics play a significant role in ensuring that these technologies directly contribute to the bottom line of companies. A technology for technology’s sake has no relevance unless it provides a sustainable advantage to corporations by increasing revenues, reducing costs, or improving productivity. This webinar will review the key characteristics of the latest trending technologies mentioned above and how data and data analytics plays a critical role.

In Part 1, we discussed the algorithms and data structures used in a blockchain. In Part 2, we will use them to build a cryptocurrency and discuss the Consensus, Proof of Work, Applications, and Scalability.

Dr. Shiva Kintali is the Founder & CEO of TrueCerts, a blockchain powered digital certificates platform. Before starting TrueCerts, he taught in the Computer Science department of Princeton University. He is a frequent public speaker on AI, Blockchain, Cryptography and Game theory and their socio-economic and cultural impact. He is doing Blockchain research since 2012.

A Product Manager has the unenviable task of prioritization, balancing several short and long-term objectives to arrive at the what and when for the product team. For an early stage product, stack ranking priorities might be sufficient. For a mature product, the challenge is often deciding what not to focus on at any given time because several areas will need at least a minimum level of investment to continue to serve your customers and stay competitive. The right prioritization framework, therefore, depends on the factors such as maturity of the product, organization and competitive environment.

Dr. Paul Mario Koola will walk you through how humans have dominated our planet by sharing knowledge amongst ourselves and across generations thereby becoming the most dominant species on this planet leading to the Anthropocene age. How should we educate the next generation? Is a mass-produced conveyor belt model of K-12 the best way to teach the next generation? What is a flipped classroom model? In this day and age of information explosion and limited brain capacity, how should we learn? Does education stop with a degree? These are some of the topics we will discuss.

Enterprises are a complex ecosystem where multiple business entities interact in highly non-linear and iterative fashion often resulting in operational chaos. Human stakeholders tend to make decisions based on intuition and limited perspective. AI and machine learning algorithms can augment these decision-making processes by removing guess-work to a large extent. This enables reduction of cognitive bias that may exist. Enterprise AI is a convergence of business context, design & human factors, technology and data science. The talk will give an insight into what type of challenges exist in an enterprise and how a data-driven AI solution can help augment the theory-based models to improve the overall operational efficiency.

Internet of Things (IoTs) and its industrial application – Industrial Internet of Things (IIoTs) are a topic of interest in all industrial sectors. Oil and gas industry remains one of those industries that can benefit significantly from the use of IIoTs, due to the complexity of operations, high-risk profile, highly regulated environment, and dynamic global environmental challenges. In this talk, I will discuss the three C’s –Current state of maturity of oil and gas industry in terms of leveraging benefits of IIoTs, the Challenges in implementation and insights generation from IIoTs, and Conduit of the framework needed to maximize the impact of IIoTs. The framework incorporates the Big Data analytics, Platform and Transformation culture to maximize the value of IIoTs. Cybersecurity becomes and the invariable topic of concern, rightly so, and is addressed in the framework. Voice of the OilfieldTM incorporates many of these concepts and applications to create value during the production phase of the oil well life cycle.

Solar energy will be the single largest source of power by 2050, with about 30% of total power consumed worldwide expected to come from it (per IEA). That's really something, given that right now the corresponding number is just above 1%.

But while solar is perhaps the power source of the future, what is its potential right now? Specifically, how beneficial will it be for house or factory rooftop to go Solar?

Listen to a reality check of solar power as it stands today Mux Narasimhan CEO of Play Solar

Dr. Shiva Kintali will take you into the intriguing world of indispensable concepts of algorithms and data structures, cryptographic hash functions, digital signatures, hash pointers, Merkle trees and many other technologies that are used in making the blockchain a reality.

Join us for this technical deep dive and get all of your questions answered in Part 1 of this 3-part Blockchain series with Dr. Shiva Kintali!